Critical severity · published Mar 19, 2025
CVE-2025-29783
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs
9.0
CVSS
0.7%
EPSS
No
On KEV
Description
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. When vLLM is configured to use Mooncake, unsafe deserialization exposed directly over ZMQ/TCP on all network interfaces will allow attackers to execute remote code on distributed hosts. This is a remote code execution vulnerability impacting any deployments using Mooncake to distribute KV across distributed hosts. This vulnerability is fixed in 0.8.0.
CVSS vector
CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Attack vector
Adjacent
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
High
Integrity
High
Availability
High
Scope
Changed
Exploitation
Is it being used?
Exploit prediction (EPSS)0.7% · higher than 54% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
VL
Vllm · Vllm
0.6.5 before 0.8.0 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-29783
CVE.org
https://www.cve.org/CVERecord?id=CVE-2025-29783
Patch
https://github.com/vllm-project/vllm/commit/288ca110f68d23909728627d3100e5a8db820aa2
Issue Tracking
https://github.com/vllm-project/vllm/pull/14228
Vendor Advisory
https://github.com/vllm-project/vllm/security/advisories/GHSA-x3m8-f7g5-qhm7
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